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NVIDIA: Large Language Models and Generative AI Deployment

Name: NVIDIA: Large Language Models and Generative AI Deployment
Price: 49 USD
Availability: InStock

NVIDIA

About this course

NVIDIA: Large Language Models and Generative AI Deployment is the fourth course of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs - Associate Specialization. This course offers a comprehensive understanding of Large Language Models (LLMs) and Generative AI deployment, combining theoretical insights with practical skills. Learners will explore key components of Generative AI, data requirements, and cleaning techniques for LLMs. The course covers model training, optimization, and evaluation methods, including Few-shot, Zero-shot, and Instruction Tuning. Additionally, the course dives into loss functions, alignment techniques, and evaluation metrics such as Perplexity. It also emphasizes the use of GPUs for training, fine-tuning methods like prompt tuning, and Parameter Efficient Fine Tuning (PEFT). Learners will gain expertise in LLM deployment strategies and monitoring with ONNX. This course is divided into three modules, each containing lessons and video lectures. Learners will engage with 4:30-5:00 hours of video content, covering both theoretical concepts and hands-on practices. Each module is equipped with quizzes to reinforce learning and assess understanding. Module 1: Fundamentals of Large Language Models Module 2: Training, Optimization, and Evaluation of LLMs Module 3: LLM Deployment Strategies and Monitoring By the end of this course, a learner will be able to: - Understand the foundational concepts of LLMs, including NLP and training data. - Explore model optimization techniques like loss functions, alignment, and PEFT. - Implement deployment strategies for LLMs and monitor performance using ONNX. This course is intended for professionals looking to deepen their expertise in deploying and optimizing LLMs for Generative AI applications.

89/100

CourseAsk score

What the provider tells you: 38/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Understand foundational concepts of large language models and their data requirements
Explore model optimization techniques such as loss functions and alignment
Implement LLM deployment strategies and monitor performance using ONNX

Artificial Intelligence #generative ai #large language models #parameter-efficient fine-tuning #zero-shot learning #few-shot learning #model training #performance evaluation #loss functions #optimization techniques #onnx #GPU training #instruction tuning #alignment techniques #prompt tuning #monitoring strategies

$49.00

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